Computer Vision Engineer

Job Title:

About the Role

Computer Vision Engineer

Key Strategic Objectives

• Develop

  modular AI/ML-enhanced simulation blocks

  to support complex virtual training scenarios.
• Build

  real-time Computer Vision/Image Processing capabilities

  for enhanced situational awareness.
• Improve

  sensory realism

  including vision, sound, and motionto deliver truly immersive experiences.
• Enable

  adaptive learning

  and

  behavioral modeling

  for intelligent virtual entities.
• Contribute to the realization of a

  Military War Room / Gaming Command Centre

  with dynamic, data-driven capabilities.

Key Responsibilities

• Design and implement AI/ML models tailored for simulation use-cases.
• Integrate image processing and computer vision techniques into real-time simulation pipelines.
• Collaborate with domain experts to translate training and tactical requirements into virtual environments.
• Optimize system performance for real-time execution and immersive responsiveness.
• Prototype and deploy modules involving visual perception, motion prediction, and behavioral logic.
  

Requirements

Essential:

• Strong

  mathematical foundation

  in

  Linear Algebra

  ,

  Calculus

  ,

  Probability

  , and

  Optimization

  .
• Proficiency in

  Python

  and/or

  C/C++

  for simulation and ML development.
• Demonstrated understanding of AI/ML algorithms and computer vision techniques.
  

Desirable:

• Experience with

  OpenCV

  ,

  YOLO

  ,

  SLAM

  ,

  depth estimation

  techniques.
• Familiarity with

  NVIDIA NVAPI

  , CUDA programming, or real-time graphics APIs.
• Background in developing simulations or real-time systems in gaming, defense, or robotics domains.
  

What We Offer

• Opportunity to work on impactful, mission-critical defense simulation projects.
• A collaborative team of engineers, data scientists, and defense experts
• Continuous learning and access to the latest technologies in AI, ML, and simulation.